The Impact of Self-Directed Learning to Intention to Use and Continued Intention of Personalized Learning

Personalized Learning is gaining popularity in the digital age, but challenges remain in meeting user expectations. Different learning styles, such as independent or social interaction, make matching expectations easier. Additionally, not all platforms provide high-quality content tailored to individual needs, as many adjust difficulty levels without considering users' interests or preferences. This study aims to identify issues and develop solutions for personalized. This research was conducted with 12 variables from some research models combined into one new model, determining 11 hypotheses and collecting data from 163 respondents in March 2023 in Indonesia. The Questionnaires determined Usefulness, Intention to use, Enjoyment, Attitude, and Continued Intention in using Personalized Learning. The research method used is Structural Equation Modelling PLS with data collected from Questionnaire. This study examines user satisfaction with Personalized Learning and whether they agree or disagree with its use.